Abstract for kim_icslp2000

Proc. ICSLP 2000

RULE-BASED NAMED ENTITY RECOGNITION SYSTEM FOR SPEECH INPUT

Ji-Hwan Kim and P.C. Woodland

October 2000

In this paper, we propose a rule based (transformation based) named entity
recognition system which uses the Brill rule inference approach. To measure
its performance, we compare the performance of the rule-based system and
IdentiFinder, one of the most successful stochastic systems. In the baseline
case (no punctuation and no capitalisation), both systems show almost equal
performance. They also have similar performance in the case of additional
information such as punctuation, capitalisation and name lists. The performance
of both systems degrade linearly with added speech recognition errors, and
their rates of degradation are almost equal. These results show that automatic
rule inference is a viable alternative to the HMM-based approach to named
entity recognition, but it retains the advantages of a rule-based approach.

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